Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Focus Exploration and discovery of hidden patterns and trends in data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field.

Project 96

Project Healthcare Deep Learning Transportation 96

Data Engineering Podcast

FEBRUARY 3, 2019

To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media. Open Context is an open access data publishing service for archaeology. What are your protocols for determining which data sets you will work with?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Knowledge Hut

APRIL 25, 2024

Information Technology is a field that manages and processes information for large-scale organizations or companies. Information technology is now synonymous with any form of digital communications and technologies. Even analyzing consumer data or live streaming social media plays a vital role in Information Technology.

Technology 52

Technology Recruitment Media Cloud Computing 52

Data Engineering Podcast

DECEMBER 8, 2019

We have partnered with organizations such as O’Reilly Media and the Python Software Foundation. Contact Info LinkedIn Website @KentGraziano on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Less will be analysed.

Unstructured Data 89

Unstructured Data Pipeline-centric Database-centric Entertainment 89

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Data Engineering Podcast

FEBRUARY 9, 2020

We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh. Is there any utility in data vault modeling in a data lake context (S3, Hadoop, etc.)?

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Edureka

FEBRUARY 8, 2024

Each generation represents an evolution in technology, offering improvements in terms of performance, efficiency, and new features. 3D Rendering and Media Processing- High-performance computing is crucial for rendering graphics and processing media files. T2, M5, C5). C, M, R) and generations (e.g., T2, M5, R6g).

AWS 52

AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Digital Marketer  You should be able to lead integrated digital marketing campaigns from concept to execution and have a firm knowledge of the most recent marketing technologies and tactics. Prepare and carry out all digital marketing strategies, including email, social media, SEO/SEM, and display advertising campaigns.

Banking 52

Banking Insurance Finance Cloud Computing 52

ProjectPro

SEPTEMBER 26, 2021

Several industries across the globe are using Big Data tools and technology in their processes and operations. According to a study, the Big Data market in the banking sector will reach $62.10 Healthcare is another primary application area of Big Data analytics , and its market will touch $67.82 billion by 2025.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. How to Build an End-to-End Data Pipeline from Scratch?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

SEPTEMBER 29, 2021

Artificial intelligence or AI is a broad term used to refer to any technology that can make machines think and learn from tasks and solve problems like humans. Applying Machine learning techniques to NLP problems would require converting unstructured text data into structured data ( usually tabular format).

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Zalando Engineering

NOVEMBER 6, 2017

Ana was always asking questions: What ways can data science add value to Zalando? How can data be leveraged in new ways? How can sense be made out of all the data being generated in the fashion ecosystem online? What new technologies should we be investigating ? Quality structured data is not easy to get in fashion.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Rockset

SEPTEMBER 20, 2022

Introduction Cryptocurrencies and NFTs have helped bring blockchain technology to the mainstream over the last few years, driven by the potential for astronomic financial returns. These platforms alleviate the time-consuming task of retrieving data from multiple chains and make the relevant data easily accessible and queryable.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Knowledge Hut

MAY 31, 2023

Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets. Business Intelligence is one such approach that helps professionals to extract valuable information from structured data.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

ProjectPro

OCTOBER 18, 2021

Recommendation engines are popular in media, entertainment, and shopping. This type of application is beneficial in searching, mobile application development, and social media apps. AI-driven Sentiment Analyzer Social media is swinging with millions of user-generated posts and content. also have the same feature.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

JULY 22, 2016

The powerful data lake architecture leverages analytics capabilities for big data processing and helps businesses address operational challenges which were difficult to be solved using conventional data warehousing technologies. Data Lake Hadoop is considered as an evolution from the existing data architecture.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

JUNE 6, 2015

How can business intelligence scale and analyse the growing data heap? Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. In BI we just consider structured data.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

MAY 20, 2015

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Confluent

AUGUST 29, 2019

Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships. Nodes are like our data entities (in this example, we use Person ). This approach to structuring data is called the property graph model. The sky’s the limit!

Kafka 55

Kafka Process Algorithm Cloud 55

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

Knowledge Hut

APRIL 25, 2024

It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. Due to this, businesses from a variety of industries are concentrating on implementing this technology. The only component of this huge data analytics is data analytics.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The need for scalable data governance frameworks is growing.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Knowledge Hut

JANUARY 18, 2024

Consider the following as a step-by-step guide to understanding your customers: Step 1: Gather data. Data: Foundation of Business To trigger a total business transformation with cutting-edge technologies, Artificial Intelligence ( AI ), and other innovative solutions, you must first lay the groundwork, which data does.

Data Science 52

Data Science Media Food Data 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some open-source technology for big data analytics are : Hadoop. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

MARCH 18, 2024

They need to share information or perform certain tasks, but they're built with different technologies or programming languages, making direct communication difficult. It offers APIs that provide real-time weather data to websites for display. It is a message protocol specification for exchanging structured data.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

APRIL 27, 2016

Scott Gnau, CTO of Hadoop distribution vendor Hortonworks said - "It doesn't matter who you are — cluster operator, security administrator, data analyst — everyone wants Hadoop and related big data technologies to be straightforward. That’s how Hadoop will make a delicious enterprise main course for a business.

Hadoop 40

Hadoop Big Data Technology Big Data Tools 40